19 research outputs found
ΠΡΠ΅ΠΊΡΠΈ ΡΠ°Π΄Π° ΠΊΠΎΠΌΠ±Π°ΡΠ½Π° zmaj 142 RM ΠΈ John deere 2264 ΠΏΡΠΈ ΠΆΠ΅ΡΠ²ΠΈ ΠΏΡΠ΅Π½ΠΈΡΠ΅ Π°Π³ΡΠΎΠ΅ΠΊΠΎΠ»ΠΎΡΠΊΠΈΠΌ ΡΡΠ»ΠΎΠ²ΠΈΠΌΠ° CΡΠ΅ΠΌΠ°
Introduction of high productive combines in harvest technology process, is
represented by point of quality loss of harvested grains. In the paper are comparatively
showed data of investigations of two wheat combines types. The effects and losses of
wheat grains have been underlined, in dependence on adjusted parameters. The achieved
results have been analyzed and expertise has been done.Π£Π²ΠΎΡΠ΅ΡΠ΅ Π²ΠΈΡΠΎΠΊΠΎΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΈΡ
ΠΊΠΎΠΌΠ±Π°ΡΠ½Π° Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΡΠΊΠΈ ΠΏΡΠΎΡΠ΅Ρ ΠΆΠ΅ΡΠ²Π΅,
ΠΈΠΌΠ° ΠΌΠΎΠΆΠ΅ ΡΠ²Π΅Π³Π° ΡΠ° Π°ΡΠΏΠ΅ΠΊΡΠ° Π³ΡΠ±ΠΈΡΠ°ΠΊΠ° ΠΈ ΠΊΠ²Π°Π»ΠΈΡΠ΅ΡΠ° ΠΎΠ²ΡΡΠ΅Π½ΠΎΠ³ Π·ΡΠ½Π°. Π£ ΠΎΠ²ΠΎΠΌ ΡΠ°Π΄Ρ ΡΡ
ΠΊΠΎΠΌΠΏΠ°ΡΠ°ΡΠΈΠ²Π½ΠΎ ΠΏΡΠΈΠΊΠ°Π·Π°Π½ΠΈ ΠΏΠΎΠ΄Π°ΡΠΈ ΠΈΡΠΏΠΈΡΠΈΠ²Π°ΡΠ° Π΄Π²Π° ΡΠΈΠΏΠ° ΠΆΠΈΡΠ½ΠΈΡ
ΠΊΠΎΠΌΠ±Π°ΡΠ½Π°. ΠΠΊΡΠ΅Π½Π°Ρ
ΡΠ΅ Π½Π° Π΅ΡΠ΅ΠΊΡΠΈΠΌΠ°, ΠΎΠ΄Π½ΠΎΡΠ½ΠΎ Π³ΡΠ±ΠΈΡΠΈΠΌΠ° Π·ΡΠ½Π° ΠΏΡΠ΅Π½ΠΈΡΠ΅, Ρ Π·Π°Π²ΠΈΡΠ½ΠΎΡΡΠΈ ΠΎΠ΄ ΠΏΠΎΠ΄Π΅ΡΠ΅Π½ΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΠ°ΡΠ°,ΠΏΡΠΈ ΡΠ΅ΠΌΡ ΡΠ΅ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΠ°ΡΡ Π΄ΠΎΠ±ΠΈΡΠ΅Π½ΠΈ ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠΈ ΠΈ Π΄Π°ΡΠ΅ ΡΡΡΡΡΠ½ΠΎ ΠΌΠΈΡΡΠ΅ΡΠ΅
Primena gravitacionog stola u doradi semenske lucerke
Processing alfalfa seed from natural sources with admixture, grains of other
species and various impurities are removed and clear grain of the basic culture is
obtained. Grain of the basic culture is prepared for sowing machine and quality planting,
germination and sprouting. Alfalfa seed loses during the processing depend on quantity
and type of weed and other impurities of organic and inorganic origin present in the
naturalized seed.
In this paper is given the analyses of the efficiency during natural alfalfa seed
processing of two different purities (B1, B2), processed on the same equipment that
involves gravity table Oliver - 240. As the relevant parameters that define the effects of
alfalfa seed were: clear grain (%), weed and other cultures seed (%), inert matter (%),
quantity of processed seed (kg), time of seed processing (h), active (kWh) and reactive
(kVArh) current consumption, processing output (%), and seed loses (%).Procesom dorade semenske lucerke iz naturalnog semena sa primesama
uklanjaju se sva zrna stranih primesa i razne neΔistoΔe i izdvaja Δisto zrno osnovne
kulture koje se priprema u Ε‘to povoljnije stanje za sejalicu i kvalitetnu setvu, klijanje i
nicanje. Gubici semena lucerke u procesu dorade zavise od vrste i koliΔine korova i
ostalih neΔistoΔa, organskog i neorganskog porekla prisutnih u naturalnom semenu.
U radu je data analiza efikasnosti pri doradi naturalnog semena lucerke dve razliΔite
ΔistoΔe (B1, B2) doraΔene na istom sistemu maΕ‘ina za doradu u okviru koga je koriΕ‘Δen
gravitacioni sto Oliver - 240. Kao relevantni parametri koji definiΕ‘u efekte dorade
semena lucerke bili su: Δisto seme (%), seme korova i seme drugih kultura (%), inertne
materije (%), koliΔina doraΔenog semena (kg), vreme dorade semena (h), utroΕ‘ak aktivne
elektriΔne energije (kWh) i reaktivne elektriΔne energije (kVArh), randman dorade (%) i
gubici semena (%)
Π£ΡΠΈΡΠ°Ρ ΡΠΈΡΡΠΎΡΠ΅ Π½Π°ΡΡΡΠ°Π»Π½ΠΎΠ³ ΡΠ΅ΠΌΠ΅Π½Π° lΡΡΠ΅ΡΠΊΠ΅ Π½Π° ΡΠ°Π½Π΄ΠΌΠ°Π½ Π΄ΠΎΡΠ°Π΄Π΅
To improve seed quality, harvested seed must be transported to processing
facility. Harvested, naturalized alfalfa seed contains many different particles such as
weed seed, seed of other raised plants ant inert matter.
In the processing of small grained legumes, output is in direct dependence with
percent of weed species and of quality of other particles in naturalized seed. High
percent of purity of naturalized alfalfa seed is not always a guarantee for high processing
output. It primary depends on species of present weed in naturalized seed. High purity
seed with low percent of weed leads to high output. Weed usually makes processing
more difficult and costly.
In this study, was analyzed the effect of quantity of particles on utilization of
alfalfa seed and two different kind of seed purity, that were processed on the same
system of machine.Π£ ΠΏΡΠΎΡΠ΅ΡΡ Π΄ΠΎΡΠ°Π΄Π΅ ΡΠ΅ΠΌΠ΅Π½Π° ΡΠΈΡΠ½ΠΎΠ·ΡΠ½ΠΈΡ
Π»Π΅Π³ΡΠΌΠΈΠ½ΠΎΠ·Π° Π²ΠΈΡΠΈΠ½Π° ΡΠ°Π½Π΄ΠΌΠ°Π½Π°
ΡΠ΅ΠΌΠ΅Π½Π° Π΄ΠΈΡΠ΅ΠΊΡΠ½ΠΎ Π·Π°Π²ΠΈΡΠΈ ΠΎΠ΄ Π·Π°ΡΡΡΠΏΡΠ΅Π½ΠΎΡΡΠΈ ΠΊΠΎΡΠΎΠ²ΡΠΊΠΈΡ
Π²ΡΡΡΠ° ΠΈ ΠΎΡΡΠ°Π»ΠΈΡ
ΠΏΡΠΈΠΌΠ΅ΡΠ° Ρ
Π½Π°ΡΡΡΠ°Π»Π½ΠΎΠΌ ΡΠ΅ΠΌΠ΅Π½Ρ. ΠΠΈΡΠΎΠΊ ΡΡΠ΅ΠΏΠ΅Π½ ΡΠΈΡΡΠΎΡΠ΅ Π½Π°ΡΡΡΠ°Π»Π½ΠΎΠ³ ΡΠ΅ΠΌΠ΅Π½Π° Π»ΡΡΠ΅ΡΠΊΠ΅ Π½ΠΈΡΠ΅ ΡΠ²Π΅ΠΊ
Π³Π°ΡΠ°Π½ΡΠΈΡΠ° ΠΈ Π²ΠΈΡΠΎΠΊΠΎΠ³ ΡΠ°Π½Π΄ΠΌΠ°Π½Π° Π΄ΠΎΡΠ°Π΄Π΅, ΡΠ°ΠΊ ΠΈ ΠΏΡΠΈ ΠΌΠ°Π»ΠΎΠΌ ΡΠ°Π΄ΡΠΆΠ°ΡΡ ΠΊΠΎΡΠΎΠ²Π°, Π²Π΅Ρ ΠΎΠ½
ΠΏΡΠ²Π΅Π½ΡΡΠ²Π΅Π½ΠΎ Π·Π°Π²ΠΈΡΠΈ ΠΎΠ΄ Π²ΡΡΡΠ΅ ΠΏΡΠΈΡΡΡΠ½ΠΈΡ
ΠΊΠΎΡΠΎΠ²Π° Ρ Π½Π°ΡΡΡΠ°Π»Π½ΠΎΠΌ ΡΠ΅ΠΌΠ΅Π½Ρ. ΠΠ΅ΡΠΈ ΡΠ°Π΄ΡΠΆΠ°Ρ
ΡΡΠ΅ΡΠ½ΠΈΡ
ΠΊΠΎΡΠΎΠ²Π° Ρ Π½Π°ΡΡΡΠ°Π»Π½ΠΎΠΌ ΡΠ΅ΠΌΠ΅Π½Ρ Π»ΡΡΠ΅ΡΠΊΠ΅ ΡΠ° Π²ΠΈΡΠΎΠΊΠΎΠΌ ΡΠΈΡΡΠΎΡΠΎΠΌ ΡΠΌΠ°ΡΡΡΠ΅
ΡΠΊΡΠΏΠ½Ρ ΠΊΠΎΠ»ΠΈΡΠΈΠ½Ρ Π΄ΠΎΡΠ°ΡΠ΅Π½ΠΎΠ³ ΡΠ΅ΠΌΠ΅Π½Π°, ΠΎΡΠ΅ΠΆΠ°Π²Π° ΠΈ ΠΏΠΎΡΠΊΡΠΏΡΡΡΠ΅ Π΄ΠΎΡΠ°Π΄Ρ.
Π£ ΡΠ°Π΄Ρ ΡΠ΅ Π΄Π°ΡΠ° Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΠΈΡΠ°ΡΠ° ΡΠ°Π΄ΡΠΆΠ°ΡΠ° ΠΏΡΠΈΠΌΠ΅ΡΠ° Ρ Π½Π°ΡΡΡΠ°Π»Π½ΠΎΠΌ ΡΠ΅ΠΌΠ΅Π½Ρ
Π»ΡΡΠ΅ΡΠΊΠ΅, Π½Π° ΠΈΡΠΊΠΎΡΠΈΡΡΠ΅ΡΠ΅ ΡΠ΅ΠΌΠ΅Π½Π°, ΠΎΠ΄Π½ΠΎΡΠ½ΠΎ Π΄ΠΎΠ±ΠΈΡΠ΅Π½Ρ ΠΊΠΎΠ»ΠΈΡΠΈΠ½Ρ ΡΠ΅ΠΌΠ΅Π½Π°, ΠΏΡΠΈ ΡΠ΅ΠΌΡ ΡΠ΅
Π΄ΠΎΡΠ°Π΄Π° Π΄Π²Π΅ ΡΠ°Π·Π»ΠΈΡΠΈΡΠ΅ ΡΠΈΡΡΠΎΡΠ΅ ΡΠ΅ΠΌΠ΅Π½Π° ΠΎΠ±Π°Π²ΡΠ°Π»Π° Π½Π° ΠΈΡΡΠΎΠΌ ΡΠΈΡΡΠ΅ΠΌΡ ΠΌΠ°ΡΠΈΠ½Π° Π·Π°
Π΄ΠΎΡΠ°Π΄Ρ
Enhancing predictive accuracy of the cardiac risk score in open abdominal aortic surgery: the role of left ventricular wall motion abnormalities
BackgroundOpen abdominal aortic surgery carries many potential complications, with cardiac adverse events being the most significant concern. The Vascular Study Group Cardiac Risk Index (VSG-CRI) is a commonly used tool for predicting severe cardiac complications and guiding clinical decision-making. However, despite the potential prognostic significance of left ventricular wall motion abnormalities (LVWMAs) and reduced LV ejection fraction (LVEF) for adverse outcomes, the VSG-CRI model has not accounted for them. Hence, the main objective of this study was to analyze the added value of LV wall motion on the discriminatory power of the modified VSG-CRI in predicting major postoperative cardiac complications.MethodsA prospective study was conducted involving 271 patients who underwent elective abdominal aortic surgery between 2019 and 2021. VSG-CRI scores were calculated, and preoperative transthoracic echocardiography was conducted for all patients. Subsequently, a modified version of the VSG-CRI, accounting for reduced LVEF and LVWMAs, was developed and incorporated into the dataset. The postoperative incidence of the composite endpoint of major adverse cardiac events (MACEs), including myocardial infarction, clinically relevant arrhythmias treated with medicaments or by cardioversion, or congestive heart failure, was assessed at discharge from the index hospitalization, with adjudicators blinded to events. The predictive accuracy of both the original and modified VSG-CRI was assessed using C-Statistics.ResultsIn total, 61 patients (22.5%) experienced MACEs. Among these patients, a significantly higher proportion had preoperative LVWMAs compared to those without (62.3% vs. 32.9%, pβ<β0.001). Multivariable regression analysis revealed the VSG-CRI [odds ratio (OR) 1.46, 95% confidence interval (CI) 1.21β1.77; pβ<β0.001] and LVWMA (OR 2.76; 95% CI 1.46β5.23; pβ=β0.002) as independent predictors of MACEs. Additionally, the modified VSG-CRI model demonstrated superior predictability compared to the baseline VSG-CRI model, suggesting an improved predictive performance for anticipating MACEs following abdominal aortic surgery [area under the curve (AUC) 0.74; 95% CI 0.68β0.81 vs. AUC 0.70; 95% CI 0.63β0.77; respectively].ConclusionThe findings of this study suggest that incorporating preoperative echocardiography can enhance the predictive accuracy of the VSG-CRI for predicting MACEs after open abdominal aortic surgery. Before its implementation in clinical settings, external validation is necessary to confirm the generalizability of this newly developed predictive model across different populations
Kvalitet rada separacionih organa pri kombajniranju pΕ‘enice kombajnima u agroekoloΕ‘kim uslovima srema
Content of untideness cuted and damaged grains in mass whole grain is
undesiplagle in seeds, as well as in mechantile grains. In seed as well as in merchantile
wheet, untideness difficulting separation are limitating factor, considering facts that with
increases mass inflow, and withe untides, as well as losses of harvesting device. Many
factors influence on separation device, as plant moisture, adjusting space drum-under
drum with drum rotation, separation device, rotation number of ventilator, opens of
vetilation valves. If relevant parameters are not adjusted it leads to the highest untides
qunatities. The objective of our two year trials was to compare two combine types Zmaj
142RM and John Deer 2264 and to determine quality of grains while harvesting, and to
show lacks and advantages of applied concept.ΠΠ°ΠΊΠΎ Ρ ΡΠ΅ΠΌΠ΅Π½ΡΠΊΠΎΡ ΡΠΎΠ±ΠΈ, ΡΠ°ΠΊΠΎ ΠΈ Ρ Π·ΡΠ½Ρ Π·Π° ΠΏΡΠ΅ΡΠ°Π΄Ρ ΡΠ°Π΄ΡΠΆΠ°Ρ ΠΏΡΠΈΠΌΠ΅ΡΠ°,
ΠΏΠΎΠ»ΠΎΠΌΡΠ΅Π½ΠΎΠ³ ΠΈ ΡΡΡΡΠΎΠ³ Π·ΡΠ½Π° ΡΠ΅ Π½Π΅ΠΏΠΎΠΆΠ΅ΡΠ°Π½. Π£ ΡΠ΅ΠΌΠ΅Π½ΡΠΊΠΎΡ ΡΠΎΠ±ΠΈ, ΠΊΠ°ΠΎ ΠΈ ΡΠΎΠ±ΠΈ Π·Π° ΠΏΡΠ΅ΡΠ°Π΄Ρ,
ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΠΎΡΠ΅ΠΆΠ°Π²Π°ΡΡ ΡΠΈΡΡΠ΅ΡΠ΅ ΠΈ ΡΡΠ²Π°ΡΠ΅, ΠΊΠ°ΠΎ ΠΈ ΠΊΠ²Π°Π»ΠΈΡΠ΅Ρ Π΄ΠΎΠ±ΠΈΡΠ΅Π½ΠΎΠ³ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π°.
ΠΡΠ³Π°Π½ΠΈ Π·Π° ΡΠΈΡΡΠ΅ΡΠ΅ ΡΡ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ°Π²Π°ΡΡΡΠΈ ΡΠ°ΠΊΡΠΎΡ, ΠΈΠΌΠ°ΡΡΡΠΈ Ρ Π²ΠΈΠ΄Ρ ΡΠΈΡΠ΅Π½ΠΈΡΡ Π΄Π° ΡΠ΅ ΡΠ°
ΠΏΠΎΠ²Π΅ΡΠ°ΡΠ΅ΠΌ Π±ΡΠ·ΠΈΠ½Π΅ ΠΊΡΠ΅ΡΠ°ΡΠ° ΠΏΠΎΠ²Π΅ΡΠ°Π²Π° Π΄ΠΎΡΠΎΠΊ ΠΌΠ°ΡΠ΅, Π° ΡΠ°ΠΌΠΈΠΌ ΡΠΈΠΌ ΠΈ ΡΠ°Π΄ΡΠΆΠ°Ρ Π½Π΅ΡΠΈΡΡΠΎΡΠ°,
ΠΊΠ°ΠΎ ΠΈ Π³ΡΠ±ΠΈΡΠΈ Π²ΡΡΠ°Π»ΠΈΡΠ΅. ΠΠ° ΠΊΠ²Π°Π»ΠΈΡΠ΅Ρ ΡΠ°Π΄Π° ΠΎΡΠ³Π°Π½Π° Π·Π° ΡΠΈΡΡΠ΅ΡΠ΅ ΡΡΠΈΡΠ΅ Π²Π΅ΡΠΈ Π±ΡΠΎΡ
ΡΠ°ΠΊΡΠΎΡΠ°: Π²Π»Π°Π³Π° ΡΡΠ΅Π²Π°, ΡΡΠΊΠ»Π°ΡΠ΅Π½ΠΎΡΡ ΡΠ°Π·ΠΌΠ°ΠΊΠ° Π±ΡΠ±Π°Ρ-ΠΏΠΎΠ΄Π±ΡΠ±Π°Ρ ΡΠ° Π±ΡΠΎΡΠ΅ΠΌ ΠΎΠ±ΡΡΠ°Ρa
Π±ΡΠ±ΡΠ°, ΠΏΠΎΠ΄Π΅ΡΠ΅Π½ΠΎΡΡ ΡΠΈΡΠ°, Π±ΡΠΎΡ ΠΎΠ±ΡΡΠ°ΡΠ° Π²Π΅Π½ΡΠΈΠ»Π°ΡΠΎΡΠ°, ΠΎΡΠ²ΠΎΡΠ΅Π½ΠΎΡΡ ΠΎΡΠ²ΠΎΡΠ° Π·Π°
Π²Π΅Π½ΡΠΈΠ»Π°ΡΠΈΡΡ. Π£ΠΊΠΎΠ»ΠΈΠΊΠΎ ΡΠ΅Π»Π΅Π²Π°Π½ΡΠ½ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈ Π½ΠΈΡΡ ΡΡΠΊΠ»Π°ΡΠ΅Π½ΠΈ Π΄ΠΎΠ±ΠΈΡΠ°ΡΡ ΡΠ΅ Π½Π°ΡΠ²Π΅ΡΠ΅
ΠΊΠΎΠ»ΠΈΡΠΈΠ½Π΅ ΠΏΡΠΈΠΌΠ΅ΡΠ°. Π¦ΠΈΡ Π½Π°ΡΠΈΡ
Π΄Π²ΠΎΠ³ΠΎΠ΄ΠΈΡΡΠΈΡ
ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ° ΡΠ΅ Π±ΠΈΠΎ Π΄Π° ΡΠ΅
ΠΊΠΎΠΌΠΏΠ°ΡΠ°ΡΠΈΠ²Π½ΠΈΠΌ ΠΈΡΠΏΠΈΡΠΈΠ²Π°ΡΠΈΠΌΠ° Π΄Π²Π° ΡΠΈΠΏΠ° ΠΊΠΎΠΌΠ±Π°ΡΠ½Π° ΠΈ ΡΠΎ Zmaj 142RM ΠΈ John Deer
2264 ΠΎΠ΄ΡΠ΅Π΄ΠΈ ΠΊΠ²Π°Π»ΠΈΡΠ΅Ρ ΠΎΠ²ΡΡΡΠ΅Π½ΠΎΠ³ Π·ΡΠ½Π° ΠΈ ΡΠΊΠ°ΠΆΠ΅ Π½Π° Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΊΠ΅, ΠΎΠ΄Π½ΠΎΡΠ½ΠΎ Π½Π°
ΠΏΡΠ΅Π΄Π½ΠΎΡΡΠΈ ΠΏΡΠΈΠΌΠ΅ΡΠ΅Π½Π΅ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΡΠ΅
Rezultati poljsko-laboratorijskih ispitivanja kvaliteta rada nekih kombajna pri ΕΎetvi pΕ‘enice
Wheat harvesting today is being done in single phase, by using wheat combine
with different technology scheme of harvesting device. For all of these common is single
phase harvesting, with different work quality. Many factors influent on working quality,
starting from plant condition, combine adjustments, defining of relevant parameters,
condition and staff skills. If key parameters are not adjusted, quality of work is
signifficantly decrease, with increase losses of harvested mass. The aim of this paper
was to determine quality of work, by field-lab trials depending on parameters. Finaly
based on achieved parameters, proove advantages and disadvantages of applied concept.Π£Π±ΠΈΡΠ°ΡΠ΅ ΠΏΡΠ΅Π½ΠΈΡΠ΅ Π΄Π°Π½Π°Ρ ΡΠ΅ ΠΎΠ±Π°Π²ΡΠ° ΡΠ΅Π΄Π½ΠΎΡΠ°Π·Π½ΠΎ, ΠΏΡΠΈΠΌΠ΅Π½ΠΎΠΌ ΠΆΠ΅ΡΠ²Π΅Π½ΠΈΡ
ΠΊΠΎΠΌΠ±Π°ΡΠ½Π° ΡΠ° ΡΠ°Π·Π»ΠΈΡΠΈΡΠΎΠΌ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΡΠΊΠΎΠΌ ΡΠ΅ΠΌΠΎΠΌ ΡΡΠ΅ΡΠ°ΡΠ° Π·Π° Π²ΡΡΠΈΠ΄Π±Ρ. ΠΠ° ΡΠ²Π΅ ΡΠ΅
Π·Π°ΡΠ΅Π΄Π½ΠΈΡΠΊΠΎ Π΄Π° ΡΠ΅ ΠΆΠ΅ΡΠ²Π° ΠΎΠ±Π°Π²ΡΠ° ΡΠ΅Π΄Π½ΠΎΡΠ°Π·Π½ΠΎ, ΡΠ· ΡΠ°Π·Π»ΠΈΡΠΈΡ ΠΊΠ²Π°Π»ΠΈΡΠ΅Ρ ΡΠ°Π΄Π°. ΠΠ° ΠΊΠ²Π°Π»ΠΈΡΠ΅Ρ
ΡΠ°Π΄Π° ΠΆΠ΅ΡΠ²Π΅Π½ΠΈΡ
ΠΊΠΎΠΌΠ±Π°ΡΠ½Π° ΡΡΠΈΡΠ΅ Π²Π΅ΡΠΈ Π±ΡΠΎΡ ΡΠ°ΠΊΡΠΎΡΠ°, ΠΏΠΎΡΠ΅Π² ΠΎΠ΄ ΡΡΠ°ΡΠ° ΡΡΠ΅Π²Π°,
ΠΏΠΎΠ΄Π΅ΡΠ΅Π½ΠΎΡΡΠΈ ΠΊΠΎΠΌΠ±Π°ΡΠ½Π°, ΠΎΠ΄Π½ΠΎΡΠ½ΠΎ Π΄Π΅ΡΠΈΠ½ΠΈΡΠ°Π½ΠΎΡΡΠΈ ΡΠ΅Π»Π΅Π²Π°Π½ΡΠ½ΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΠ°ΡΠ°,
ΠΈΡΠΏΡΠ°Π²Π½ΠΎΡΡΠΈ, ΠΎΠ±ΡΡΠ΅Π½ΠΎΡΡΠΈ ΡΡΠΊΠΎΠ²Π°ΠΎΡΠ°. Π£ΠΊΠΎΠ»ΠΈΠΊΠΎ ΡΠ΅Π»Π΅Π²Π°Π½ΡΠ½ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈ Π½ΠΈΡΡ
ΡΡΠΊΠ»Π°ΡΠ΅Π½ΠΈ, ΠΎΠ½Π΄Π° ΡΠ΅ ΠΊΠ²Π°Π»ΠΈΡΠ΅Ρ ΡΠ°Π΄Π° ΠΊΠΎΠΌΠ±Π°ΡΠ½Π° Π½Π°ΡΡΡΠ°Π²Π° Ρ Π·Π½Π°ΡΠ°ΡΠ½ΠΎΡ ΠΌΠ΅ΡΠΈ, ΡΠΈΠΌΠ΅ ΡΠ΅
ΠΏΠΎΠ²Π΅ΡΠ°Π²Π°ΡΡ Π³ΡΠ±ΠΈΡΠΈ ΠΈ ΡΠ΄Π΅ΠΎ ΠΏΡΠΈΠΌΠ΅ΡΠ° Ρ ΠΎΠ²ΡΡΠ΅Π½ΠΎΡ ΠΌΠ°ΡΠΈ. Π¦ΠΈΡ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ° Π±ΠΈΠΎ ΡΠ΅ Π΄Π° ΡΠ΅
ΠΏΠΎΡΡΠΊΠΎ-Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠΈΡΡΠΊΠΈΠΌ ΠΈΡΠΏΠΈΡΠΈΠ²Π°ΡΠΈΠΌΠ° Π½Π΅ΠΊΠΈΡ
ΠΊΠΎΠΌΠ±Π°ΡΠ½Π° ΡΡΠ²ΡΠ΄ΠΈ ΠΊΠ²Π°Π»ΠΈΡΠ΅Ρ ΡΠ°Π΄Π°, Ρ
Π·Π°Π²ΠΈΡΠ½ΠΎΡΡΠΈ ΠΎΠ΄ ΡΠ΅Π»Π΅Π²Π°Π½ΡΠ½ΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΠ°ΡΠ°, ΡΠ΅ Π΄Π° ΡΠ΅ ΡΠ° ΠΎΡΠ½ΠΎΠ²Ρ Π΄ΠΎΠ±ΠΈΡΠ΅Π½ΠΈΡ
ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠ°
ΡΠΊΠ°ΠΆΠ΅ Π½Π° ΠΏΡΠ΅Π΄Π½ΠΎΡΡΠΈ, ΠΎΠ΄Π½ΠΎΡΠ½ΠΎ Π½Π° Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΊΠ΅ ΠΏΡΠΈΠΌΠ΅ΡΠ΅Π½Π΅ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΡΠ΅
Kinetics and modeling of the extraction of flax seed oil (Linum usitatissimum L.) by supercritical carbon dioxide
Rezultati eksploatacionih ispitivanja kombajna za ubiranje zrna sa oglednih polja
The collection of grain from trial fields are performed by the harvesters of
different technological and technical solutions. The very process of collecting seeds is
very complex and sensitive, and accompanied by the attributes that are not characteristic
of mercantile harvesting grain. Therefore, the harvesting of grain from trial fields are
given special attention in order to achieve optimal effects of applied combines and of
obtaining more realistic results with the experimental fields.
The aim is to show how the applied technology and technical solutions and the
parameters affecting the quality of combine harvested crops of seed mass, as well as
exploitation indicators combine.Π£Π±ΠΈΡΠ°ΡΠ΅ Π·ΡΠ½Π° ΡΠ° ΠΎΠ³Π»Π΅Π΄Π½ΠΈΡ
ΠΏΠΎΡΠ° ΠΈΠ·Π²ΠΎΠ΄ΠΈ ΡΠ΅ ΠΊΠΎΠΌΠ±Π°ΡΠ½ΠΈΠΌΠ° ΡΠ°Π·Π»ΠΈΡΠΈΡΠΈΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΡΠΊΠΎ ΡΠ΅Ρ
Π½ΠΈΡΠΊΠΈΡ
ΡΠ΅ΡΠ΅ΡΠ°. Π‘Π°ΠΌ ΠΏΡΠΎΡΠ΅Ρ ΡΠ±ΠΈΡΠ°ΡΠ° Π·ΡΠ½Π° ΡΠ΅ Π²Π΅ΠΎΠΌΠ° ΡΠ»ΠΎΠΆΠ΅Π½ ΠΈ
ΠΎΡΠ΅ΡΡΠΈΠ², Π° ΠΏΡΠ°ΡΠ΅Π½ ΡΠ΅ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΡΡΠΈΠΌΠ° ΠΊΠΎΡΠ΅ Π½ΠΈΡΡ ΠΊΠ°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΡΠ½Π΅ Π·Π° ΡΠ±ΠΈΡΠ°ΡΠ΅
ΠΌΠ΅ΡΠΊΠ°Π½ΡΠΈΠ»Π½ΠΎΠ³ Π·ΡΠ½Π°. ΠΠ±ΠΎΠ³ ΡΠΎΠ³Π° ΡΠ΅ ΡΠ±ΠΈΡΠ°ΡΡ Π·ΡΠ½Π° ΡΠ° ΠΎΠ³Π»Π΅Π΄Π½ΠΈΡ
ΠΏΠΎΡΠ° ΠΏΠΎΡΠ²Π΅ΡΡΡΠ΅ ΠΏΠΎΡΠ΅Π±Π½Π°
ΠΏΠ°ΠΆΡΠ° Ρ ΡΠΈΡΡ ΠΎΡΡΠ²Π°ΡΠΈΠ²Π°ΡΠ° ΠΎΠΏΡΠΈΠΌΠ°Π»Π½ΠΈΡ
Π΅ΡΠ΅ΠΊΠ°ΡΠ° ΡΠ°Π΄Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅Π½ΠΈΡ
ΠΊΠΎΠΌΠ±Π°ΡΠ½Π° ΠΈ
Π΄ΠΎΠ±ΠΈΡΠ°ΡΠ° ΡΡΠΎ ΡΠ΅Π°Π»Π½ΠΈΡΠΈΡ
ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠ°.
Π¦ΠΈΡ ΡΠ°Π΄Π° ΡΠ΅ Π΄Π° ΡΠ΅ ΠΏΡΠΈΠΊΠ°ΠΆΠ΅ ΠΊΠ°ΠΊΠΎ ΠΏΡΠΈΠΌΠ΅ΡΠ΅Π½Π° ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΡΠΊΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠΊΠ° ΡΠ΅ΡΠ΅ΡΠ° ΠΈ
Π΄Π΅ΡΠΈΠ½ΠΈΡΠ°Π½ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈ ΠΊΠΎΠΌΠ±Π°ΡΠ½Π° ΡΡΠΈΡΡ Π½Π° ΠΊΠ²Π°Π»ΠΈΡΠ΅Ρ ΠΎΠ²ΡΡΠ΅Π½Π΅ ΠΌΠ°ΡΠ΅ ΡΠ΅ΠΌΠ΅Π½ΡΠΊΠΈΡ
ΡΡΠ΅Π²Π°, ΠΊΠ°ΠΎ ΠΈ Π½Π° Π΅ΠΊΡΠΏΠ»ΠΎΠ°ΡΠ°ΡΠΈΠΎΠ½Π΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅ΡΠ΅ ΠΊΠΎΠΌΠ±Π°ΡΠ½Π°
Quality of Supply and Uncertainty: Risk and Reliability Implications from DERs and Hybrid Microgrids
Future networks will incorporate a combination of microgrids and different types of renewable-based distributed energy resources (DERs), allowing them to provide ancillary services in grid-connected mode and, if necessary, operate in an islanded mode to increase network proactivity, continuity of supply, reliability, and resilience. Also, energy storage has become a critical issue in microgrid and residential building applications due to varying limitations such as capacity-loss over time and aging. This panel covers all types of smart solutions that exploit microgrid optimisation under uncertainty, new probabilistic methods for managing microgrid energy management systems, including Hydrogen (H2) as one of the key energy vectors for long-term storage. A sub-topic considers innovative approaches to the analytical and simulation techniques for assessing the optimal operation and control of microgrids and DERs, while dispatching different ancillary services for the grid in a reliable and economical manner. The panel insight will also extend to self-optimizing control solutions of building microgrids for the integration in net-zero energy buildings, as well as electric mobility (vehicle-to-grid, V2G, or boat-to-grid, B2G) within maritime, island microgrids, or integrated port energy systems. The scope includes the predictive maintenance and fault detection capabilities in hybrid (grid-connected and islanded) microgrids to ensure a smooth operation and maximize self-consumption of renewable energy intermittency through predictive control, artificial intelligence, machine learning and/or novel forecasting techniques